Not exact matches
The two updates are: 1) the adoption of ERSST v4 for the ocean
temperatures (incorporating a number of
corrections for
biases for different methods), and 2) the use of the larger International Surface
Temperature Initiative (ISTI) weather station database, instead of GHCN.
The ``... uneven spatial distribution, many missing data points, and a large number of non-climatic
biases varying in time and space» all contribute inaccuracies to to the global
temperature record — as do errors in orbital decay
corrections, limb -
corrections, diurnal
corrections, and hot - target
corrections, all of which rely on measurements (+ - inherent errors), in the satellite
temperature records.
In contrast, the only interval in the GISS or NCDC global time series that looks odd is during the WWII years between 1941 and 1945, where it appears that all the
temperatures have a warming
bias of 0.1 C. I agree with J.J.Kennedy that it is an artificial shift based on war - time procedures, but I think the
corrections that Hadley made post-WWII were questionable.
The gridded field is produced from ship and buoy sea surface
temperatures in the ICOADS release 2.5 data set (29) using
bias correction and Empirical Orthogonal Teleconnection methodologies as described in (13).
NASA GISS obtain much of their
temperature data from the NOAA who adjust the data to filter out primarily time - of - observation
bias (although their
corrections also include inhomogeneities and urban warming - more on NOAA adjustments).
As a result, their «urbanization
bias - corrected» global
temperature trend estimates was pretty much the same as the estimates of the other groups who didn't apply any urbanization
bias corrections (you can see this by looking back at Figure 1, at the start of the essay).
A comparison of HadSST2 with the NCDC
temperature data, and of the unadjusted HadSST3 (i.e. without the new
bias corrections) with NCDC using only common coverage ocean cells is shown in right panel of Figure 2.
The first is
Bias -
Correction Spatial Disaggregation (BCSD)(Wood et al., 2004) following Maurer et al., (2008) with the following modifications: the incorporation of monthly minimum and maximum temperature instead of monthly mean temperature, as suggested by Bürger et al., (2012) and bias correction using detrended quantile mapping with delta method extrapolation following Bürger et al
Correction Spatial Disaggregation (BCSD)(Wood et al., 2004) following Maurer et al., (2008) with the following modifications: the incorporation of monthly minimum and maximum
temperature instead of monthly mean
temperature, as suggested by Bürger et al., (2012) and
bias correction using detrended quantile mapping with delta method extrapolation following Bürger et al
correction using detrended quantile mapping with delta method extrapolation following Bürger et al., (2013).
Initial downscaled daily simulations of
temperature and precipitation at 10 - km resolution are produced using
bias correction constructed analogs with quantile mapping (BCCAQ).
Most satellite measurements of sea surface
temperature (SST) also need
bias correction and there are subtle differences between ship and buoy measurements of SST.
He made the point well that much of the argument about climate consists of the scientists having to refute claims made by sceptics based on minutiae without regard for the bigger picture (2008 being colder than 1998 despite the general warming trend, or
corrections upwards to the
temperature of a single Tasmanian weather station despite the fact overall there was no
bias).
Given that
biases in buckets measurements depend on the air - sea
temperature difference any more detailed
corrections would involve using both MAT and SST together.
If a
bias correction is made which applies to all the measurements in a particular month, the the resulting uncertainty in the global
temperature will be just as big as the corresponding uncertainty in any individual cell.
In climate: On the need for
bias correction of regional climate change projections of
temperature and precipitation Jens.
Outputs from seven downscaling methods —
bias correction constructed analogues (BCCA), double BCCA (DBCCA), BCCA with quantile mapping reordering (BCCAQ),
bias correction spatial disaggregation (BCSD), BCSD using minimum / maximum
temperature (BCSDX), the climate imprint delta method (CI), and
bias corrected CI (BCCI)-- are used to drive the Variable Infiltration Capacity (VIC) model over the snow - dominated Peace River basin, British Columbia.
As the trend in the US rural stations, which at least until very recently employed these min / max stations, has been from early evening observation (5 pm or 7 pm in most of the sources I've found) to early morning observation (usually 7 am), this has been presumed to put an artificial cooling
bias into the
temperature record, so a net positive, and increasing as more stations have been converted,
correction has been added to the raw data.
May a stranger compliment you on this terrific work and offer the comment that beyond the
biased «
corrections» by NOAA, the data seem also to show that the further away from cities and airports the measurements occur, the less the measurement of increased
temperature is.
There is a very obvious cooling
bias in the record associated with the conversion of most co-op stations from LiG to MMTS in the 1980s, and even folks deeply skeptical of the
temperature network like Anthony Watts and his coauthors add an explicit
correction for this in their paper.
On the contrary, they found that the
corrections made to the data resulted in ``...
bias in unadjusted maximum
temperature data from poor exposure sites relative to good exposure sites is, on average, negative while the
bias in minimum
temperatures is positive (though smaller in magnitude than the negative
bias in maximum
temperatures).»
So even I, a skeptic, would expect a disproportionate number of the all - time high
temperatures to be in the last decade, particularly without UHI
correction and with the
bias discussed above.
Biases from Stations Coming Online: When a new station is added, the relative
temperature of that station affects the trend (when calculated as an arithmetic average with no
corrections).